Reducing Manual Support Load by 95% on a High-Volume iGaming Platform
Director of Community Operations and Lead Strategist. Large-scale online casino platform, peak support load of 250+ requests per hour.
The client's support relied almost entirely on manual processing. At peak hours, response times degraded sharply, moderators burned out on repetitive tickets, and there was no structured escalation logic separating routine requests from cases requiring human judgment.
- Architected a full automation layer using n8n, integrated directly with the client's internal support system rather than a generic third-party tool
- Built AI-assisted triage and FAQ resolution workflows to handle the highest-volume, lowest-complexity request types automatically
- Designed automated escalation logic so that only genuinely complex or sensitive cases reached a human moderator
- Built Supabase-backed tracking to maintain visibility and auditability across the entire automated pipeline
- Documented the complete system so internal teams could maintain and extend it without my ongoing involvement
This automation layer was one component of a comprehensive six-month community and support operations strategy I authored for the client as part of a larger agency engagement. The support automation system described above is in active operation. Additional components of the broader strategy have been handed off to the client's internal departments for execution.